Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "52"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 52 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 30 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 30 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 52, Node N03:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460013 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.935174 5.997049 0.528321 0.134654 1.762662 1.419023 3.128064 1.013262 0.5838 0.5947 0.3664 nan nan
2460012 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.526755 5.803575 0.355500 -0.006894 1.878550 1.690144 3.570115 1.017727 0.5711 0.5823 0.3663 nan nan
2460011 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.766365 6.518540 0.207470 -0.188190 3.072988 2.585930 3.474724 0.737159 0.5815 0.5905 0.3678 nan nan
2460010 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 8.396187 6.745224 0.165117 0.210331 2.100312 2.016197 2.914364 0.403687 0.5882 0.5965 0.3737 nan nan
2460009 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 8.147309 6.715797 0.325551 0.291634 1.267014 1.735181 2.272196 0.757523 0.5948 0.6067 0.3763 nan nan
2460008 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 9.753758 7.658918 0.325106 0.309595 0.582522 1.276011 1.039865 0.873088 0.6368 0.6501 0.3361 nan nan
2460007 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.256796 5.805655 0.380889 0.401400 1.391269 1.320192 2.215766 0.678018 0.6005 0.6125 0.3618 nan nan
2459999 RF_maintenance 0.00% 99.83% 99.75% 0.00% - - nan nan nan nan nan nan nan nan 0.1522 0.1796 0.0941 nan nan
2459998 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 6.757544 5.240706 -0.417592 -0.290749 2.274288 1.618988 2.477704 1.411031 0.6036 0.6175 0.3920 nan nan
2459997 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.350739 5.755903 0.078854 0.383957 1.362327 1.488612 3.242847 2.111265 0.6163 0.6349 0.3930 nan nan
2459996 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.756525 6.795090 1.228781 1.264871 1.417341 1.800716 0.889335 0.401035 0.6219 0.6364 0.4040 nan nan
2459995 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.742517 6.851711 -0.482958 0.686491 0.929258 1.287349 0.915387 0.473145 0.6089 0.6222 0.3933 nan nan
2459994 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.987050 6.737810 -0.344580 0.811126 1.109871 0.963860 1.360307 1.370496 0.6065 0.6181 0.3889 nan nan
2459993 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 8.584878 7.399883 -0.562546 0.645070 1.028343 0.798925 1.364113 0.817743 0.5910 0.6254 0.4073 nan nan
2459991 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 9.030747 7.763062 -0.390894 0.683119 0.927712 0.912596 1.729646 1.019308 0.6240 0.6274 0.3924 nan nan
2459990 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.638743 6.267957 -0.336953 0.612478 1.082763 1.014331 3.867001 3.751979 0.6206 0.6270 0.3900 nan nan
2459989 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 8.255344 6.369514 -0.324448 0.788329 1.078947 0.915894 0.813871 1.207550 0.6173 0.6258 0.3923 nan nan
2459988 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 9.639802 7.949415 -0.453504 0.528812 1.398382 0.824183 0.492612 0.560319 0.6153 0.6245 0.3852 nan nan
2459987 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.976505 6.378900 -0.436167 0.702270 0.679342 1.074496 1.742371 2.388211 0.6245 0.6318 0.3830 nan nan
2459986 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 9.151524 7.914034 -0.446380 0.626562 1.129778 0.889932 0.781841 1.517219 0.6458 0.6570 0.3352 nan nan
2459985 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 8.762909 7.654463 -0.432283 0.676048 0.849786 0.807979 3.871457 3.633748 0.6223 0.6295 0.3902 nan nan
2459984 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 8.269347 6.606657 -0.489463 0.594511 0.965701 1.742284 1.158035 1.022830 0.6352 0.6440 0.3701 nan nan
2459983 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 8.053798 6.692134 -0.348401 0.542604 0.665815 0.627957 0.909620 0.643739 0.6435 0.6620 0.3333 nan nan
2459982 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 5.001758 4.787477 -0.207982 0.549904 1.369531 0.827573 -0.085238 0.312687 0.7125 0.7085 0.2815 nan nan
2459981 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.401195 5.922223 -0.426527 0.475106 0.575345 0.628630 1.990867 1.414269 0.6236 0.6326 0.3856 nan nan
2459980 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.552822 6.235515 -0.435250 0.512859 1.243983 0.754919 -0.015081 0.818800 0.6722 0.6792 0.3048 nan nan
2459979 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.395383 5.857302 -0.504030 0.456278 0.952236 0.559918 2.011809 1.921762 0.6155 0.6283 0.3862 nan nan
2459978 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.620002 6.062801 -0.497598 0.457521 0.856663 0.483766 1.300999 1.778460 0.6171 0.6285 0.3931 nan nan
2459977 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.447645 6.205776 -0.482816 0.480979 1.792818 0.943487 1.993003 0.734907 0.5783 0.5906 0.3568 nan nan
2459976 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.638973 6.296109 -0.456158 0.475565 0.833037 0.630139 1.298163 1.113501 0.6235 0.6351 0.3807 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 52: 2460013

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 7.935174 7.935174 5.997049 0.528321 0.134654 1.762662 1.419023 3.128064 1.013262

Antenna 52: 2460012

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 7.526755 7.526755 5.803575 0.355500 -0.006894 1.878550 1.690144 3.570115 1.017727

Antenna 52: 2460011

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 7.766365 7.766365 6.518540 0.207470 -0.188190 3.072988 2.585930 3.474724 0.737159

Antenna 52: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 8.396187 8.396187 6.745224 0.165117 0.210331 2.100312 2.016197 2.914364 0.403687

Antenna 52: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 8.147309 8.147309 6.715797 0.325551 0.291634 1.267014 1.735181 2.272196 0.757523

Antenna 52: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 9.753758 7.658918 9.753758 0.309595 0.325106 1.276011 0.582522 0.873088 1.039865

Antenna 52: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 7.256796 7.256796 5.805655 0.380889 0.401400 1.391269 1.320192 2.215766 0.678018

Antenna 52: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 52: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 6.757544 6.757544 5.240706 -0.417592 -0.290749 2.274288 1.618988 2.477704 1.411031

Antenna 52: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 7.350739 7.350739 5.755903 0.078854 0.383957 1.362327 1.488612 3.242847 2.111265

Antenna 52: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 7.756525 7.756525 6.795090 1.228781 1.264871 1.417341 1.800716 0.889335 0.401035

Antenna 52: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 7.742517 7.742517 6.851711 -0.482958 0.686491 0.929258 1.287349 0.915387 0.473145

Antenna 52: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 7.987050 7.987050 6.737810 -0.344580 0.811126 1.109871 0.963860 1.360307 1.370496

Antenna 52: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 8.584878 8.584878 7.399883 -0.562546 0.645070 1.028343 0.798925 1.364113 0.817743

Antenna 52: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 9.030747 9.030747 7.763062 -0.390894 0.683119 0.927712 0.912596 1.729646 1.019308

Antenna 52: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 7.638743 6.267957 7.638743 0.612478 -0.336953 1.014331 1.082763 3.751979 3.867001

Antenna 52: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 8.255344 6.369514 8.255344 0.788329 -0.324448 0.915894 1.078947 1.207550 0.813871

Antenna 52: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 9.639802 7.949415 9.639802 0.528812 -0.453504 0.824183 1.398382 0.560319 0.492612

Antenna 52: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 7.976505 7.976505 6.378900 -0.436167 0.702270 0.679342 1.074496 1.742371 2.388211

Antenna 52: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 9.151524 7.914034 9.151524 0.626562 -0.446380 0.889932 1.129778 1.517219 0.781841

Antenna 52: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 8.762909 7.654463 8.762909 0.676048 -0.432283 0.807979 0.849786 3.633748 3.871457

Antenna 52: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 8.269347 8.269347 6.606657 -0.489463 0.594511 0.965701 1.742284 1.158035 1.022830

Antenna 52: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 8.053798 8.053798 6.692134 -0.348401 0.542604 0.665815 0.627957 0.909620 0.643739

Antenna 52: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 5.001758 5.001758 4.787477 -0.207982 0.549904 1.369531 0.827573 -0.085238 0.312687

Antenna 52: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 7.401195 5.922223 7.401195 0.475106 -0.426527 0.628630 0.575345 1.414269 1.990867

Antenna 52: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 7.552822 6.235515 7.552822 0.512859 -0.435250 0.754919 1.243983 0.818800 -0.015081

Antenna 52: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 7.395383 7.395383 5.857302 -0.504030 0.456278 0.952236 0.559918 2.011809 1.921762

Antenna 52: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 7.620002 6.062801 7.620002 0.457521 -0.497598 0.483766 0.856663 1.778460 1.300999

Antenna 52: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 7.447645 7.447645 6.205776 -0.482816 0.480979 1.792818 0.943487 1.993003 0.734907

Antenna 52: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
52 N03 RF_maintenance ee Shape 7.638973 6.296109 7.638973 0.475565 -0.456158 0.630139 0.833037 1.113501 1.298163
In [ ]: